File: t_Rayleigh_std.expout

package info (click to toggle)
openturns 1.7-3
  • links: PTS, VCS
  • area: main
  • in suites: stretch
  • size: 38,588 kB
  • ctags: 26,495
  • sloc: cpp: 144,032; python: 26,855; ansic: 7,868; sh: 419; makefile: 263; yacc: 123; lex: 44
file content (38 lines) | stat: -rw-r--r-- 2,394 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
Distribution  class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
Distribution  Rayleigh(sigma = 2.5, gamma = -0.5)
Elliptical =  False
Continuous =  True
oneRealization= class=NumericalPoint name=Unnamed dimension=1 values=[1.90372]
oneSample first= class=NumericalPoint name=Unnamed dimension=1 values=[0.748252]  last= class=NumericalPoint name=Unnamed dimension=1 values=[2.7717]
mean= class=NumericalPoint name=Unnamed dimension=1 values=[2.61902]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.72183]
Kolmogorov test for the generator, sample size= 100  is accepted
Kolmogorov test for the generator, sample size= 1000  is accepted
Point=  class=NumericalPoint name=Unnamed dimension=1 values=[1]
ddf     = class=NumericalPoint name=Unnamed dimension=1 values=[0.0855317]
ddf (FD)= class=NumericalPoint name=Unnamed dimension=1 values=[0.0855317]
pdf     = 0.200464850739
pdf (FD)= 0.200464851
cdf= 0.164729788589
characteristic function= (-0.157515303917+0.242921656409j)
pdf gradient     = class=NumericalPoint name=Unnamed dimension=2 values=[-0.131505,-0.0855317]
pdf gradient (FD)= class=NumericalPoint name=Unnamed dimension=2 values=[-0.131505,-0.0855317]
cdf gradient     = class=NumericalPoint name=Unnamed dimension=2 values=[-0.120279,-0.200465]
cdf gradient (FD)= class=NumericalPoint name=Unnamed dimension=2 values=[-0.120279,-0.200465]
quantile= class=NumericalPoint name=Unnamed dimension=1 values=[5.61937]
cdf(quantile)= 0.95
mean= class=NumericalPoint name=Unnamed dimension=1 values=[2.63329]
covariance= class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.68252]
parameters= [class=NumericalPointWithDescription name=marginal 1 dimension=2 description=[sigma,gamma] values=[2.5,-0.5]]
standard moment n= 0  value= [1]
standard moment n= 1  value= [1.25331]
standard moment n= 2  value= [2]
standard moment n= 3  value= [3.75994]
standard moment n= 4  value= [8]
standard moment n= 5  value= [18.7997]
Standard representative= Rayleigh(sigma = 1, gamma = 0)
gamma= -0.5
standard deviation= class=NumericalPoint name=Unnamed dimension=1 values=[1.63784]
skewness= class=NumericalPoint name=Unnamed dimension=1 values=[0.631111]
kurtosis= class=NumericalPoint name=Unnamed dimension=1 values=[3.24509]
sigma= 2.5